<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/bb7bc8200f54451ab04f287c05a54845&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/bb7bc8200f54451ab04f287c05a54845-4b53b3a95808aac6.gif</thumbnail_url><duration>98.343</duration><title>How Browser Agents Improve Over Time</title><description>This Loom demonstrates how the system routes and verifies browser-based tasks using screenshots and knowledge carried over from previous work. The speaker describes capturing and comparing screenshots, checking whether a company or deficient part is needed, and handling failures based on prior tasks. It also covers an agent harness that self-reports, improves sub-agent performance over time, and includes version history showing which skills were updated and diffs of screen improvements. Finally, the Loom includes a live demo where a browser is spun up and annotated as the page changes.</description></oembed>